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Efficient Interactive Segmentation using Modified Maximal Similarity Region Merging
http://hdl.handle.net/20.500.12678/0000004383
http://hdl.handle.net/20.500.12678/0000004383bd0a94d0-e39b-4d2d-8369-1305bd9507cd
dcd91b7e-55c3-4512-bc7d-3dd2ad33a35a
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Article | ||||||
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Title | ||||||
Title | Efficient Interactive Segmentation using Modified Maximal Similarity Region Merging | |||||
Language | en | |||||
Publication date | 2016-02-25 | |||||
Authors | ||||||
Win, May Thu | ||||||
Win, Kay Thi | ||||||
Description | ||||||
Interactive image segmentation has manyapplications in image processing, computervision, computer graphics and medical imageanalysis. In medical applications, imagesegmentation is a fundamental process in mostsystems that support medical diagnosis, surgicalplanning and treatments. In many editing tasks,the aim is to separate a foreground object fromits background. Therefore, we propose a fast andsimple interactive image segmentation techniquein this paper. The proposed methodautomatically merges the regions that areinitially segmented by mean shift segmentation,and then effectively extracts the object contourby labeling all the non-marker regions as eitherbackground or object. Moreover, manyexperiments are tested and the results show thatthe proposed method is faster than the existingmethod. Therefore, the proposed method iseffective and can quickly and accurately segmentfor both medical and natural scene images with ease. | ||||||
Keywords | ||||||
Interactive Image Segmentation, Initial Segmentation, RGB color histogram, Region Merging | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/232 | |||||
Journal articles | ||||||
Fourteenth International Conference On Computer Applications (ICCA 2016) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |